[1]徐茂格,宋耀良,刘力维.基于修正扩展卡尔曼滤波和粒子滤波的混沌信号检测与跟踪[J].南京理工大学学报(自然科学版),2007,(04):514-517. XU Mao-ge,SONG Yao-liang,LIU Li-wei.Chaotic Signal Detection and Track Based on Modified Extended Kalman Filter and Particle Filtering[J].Journal of Nanjing University of Science and Technology,2007,(04):514-517.

In v iew of the difficult problem in the chao tic signal detection and track in the abom inable
env ironm ents, and the degenerate phenomenon o f the trad itional extended Kalman f ilter ( EKF )
w hich is based on the f irst order lineariza tion, amod if ied EKF is developed that hasmuch better robustness
than the traditiona l EKF and gets a lmost the same performance as the Unscented Ka lman
filter. The two filters ment ioned above experience large track error in the low signal no ise ratio
( SNR) , and a novel particle filter wh ich can be used in the non linear and non-Gaussian env ironments
is introduced and a lso its feasibility is ana ly zed. The simu lation demonstrates the superiorit ies
of particle filtering in the low SNR.